Additional engagement metric: post clicks
Only in aggregated form. But it's possible to try to estimate best posting time interval.
P.S.: In VK it's possible to track every subscriber. But it's quite tricky.
Recall reach estimates from lecture 1?
It's page with ~60k likes: 0,1% reaches timeline!
Only in aggregated form.
The same audience categories are available for reached and engaged users.
Impressions = Reach
Engagement = all possible actions
(RT, @, Favor, all types of links clicks)
Clicks are not separated. Use Export to explore full data .csv.
Location, Gender, Interests (estimates)
No age data.
No export abilities.
Detailed monitoring for: Facebook, Twitter, YouTube, VK
Experimental reports for: Instagram, LinkedIn
PTA-like measurement
Date-Time estimations
Data for every plot could be exported to .csv
Engaging interactions
Only public available parameters are used (no reach, impressions, clicks)
Facebook, Twitter, YouTube, Instagram, Google+, Tumblr, LinkedIn, Vine reports The End
There are different unrelated reports.
Though some reports are quite interesting and exclusive.
One needs to choose report type, specify dates, and get the report.
It's possible to schedule reports.
Engagement metrics, sentiment, geo and gender data.
Measuring influence in social media.
Cumulative score on 0-100 scale.
Was broken a lot of times:
Though it's steel widely used, and algorithm instantly updated.
Moreover, there are some alternatives. Like PeerIndex.
smapy - Social media anatomist for Python
It's a python package. Meta-wrapper: open set of connectors.
The main purpose is to bring to network data required similarity. There is no need to care about how alike concepts are called in different networks (i.e. “tweet” in Twitter, “status” in Facebook, or “post” in Livejournal), and what exactly endpoints you should use.